LLM EXPLORER
 LLM Explorer: A Curated Large Language Model Directory and Analytics
Dark Theme
  LLM  List    LLM Hosting    LLM Leaderboards    Blog    Newsfeed    Advertise

Magnum V2 123B by anthracite-org

 »  All LLMs  »  anthracite-org  »  Magnum V2 123B   URL Share it on

  284   
  Autotrain compatible Base model:finetune:mistralai/... Base model:mistralai/mistral-l...   Chat   Conversational Dataset:anthracite-org/kalo-op... Dataset:anthracite-org/nopm cl... Dataset:doctor-shotgun/c2-sthe...   De   En   Endpoints compatible   Es   Fr   Instruct   It   Ja   Mistral   Pt   Region:us   Ru   Safetensors   Sharded   Tensorflow   Zh
Model Card on HF 🤗: https://huggingface.co/anthracite-org/magnum-v2-123b 

Magnum V2 123B Benchmarks

LLME Score: 0.2066
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
🌟 Advertise your project 🚀

Magnum V2 123B Parameters and Internals

Model Type 
text generation
Additional Notes 
This is the sixth model in a series to replicate the prose quality of Claude 3 models, specifically Sonnet and Opus.
Supported Languages 
en (supported), fr (supported), de (supported), es (supported), it (supported), pt (supported), ru (supported), zh (supported), ja (supported)
Training Details 
Data Sources:
anthracite-org/Stheno-Data-Filtered, anthracite-org/kalo-opus-instruct-22k-no-refusal, anthracite-org/nopm_claude_writing_fixed
Methodology:
Instruct tuning with Mistral formatting
Training Time:
1.5 epochs
Hardware Used:
8x AMD Instinct™ MI300X Accelerators
Input Output 
Input Format:
Mistral formatting: [INST] USER MESSAGE[/INST]
Accepted Modalities:
text
Performance Tips:
Recommend replacing misconfigured SillyTavern presets with Context and Instruct presets.
LLM NameMagnum V2 123B
Repository 🤗https://huggingface.co/anthracite-org/magnum-v2-123b 
Base Model(s)  Mistral Large Instruct 2407   mistralai/Mistral-Large-Instruct-2407
Model Size123b
Required VRAM207.6 GB
Updated2025-06-09
Maintaineranthracite-org
Model Typemistral
Instruction-BasedYes
Model Files  4.9 GB: 1-of-51   4.8 GB: 2-of-51   4.9 GB: 3-of-51   4.8 GB: 4-of-51   4.8 GB: 5-of-51   4.8 GB: 6-of-51   4.9 GB: 7-of-51   4.8 GB: 8-of-51   4.8 GB: 9-of-51   4.8 GB: 10-of-51   4.9 GB: 11-of-51   4.8 GB: 12-of-51   4.8 GB: 13-of-51   4.8 GB: 14-of-51   4.9 GB: 15-of-51   4.8 GB: 16-of-51   4.8 GB: 17-of-51   4.8 GB: 18-of-51   4.9 GB: 19-of-51   4.8 GB: 20-of-51   4.8 GB: 21-of-51   4.8 GB: 22-of-51   4.9 GB: 23-of-51   4.8 GB: 24-of-51   4.8 GB: 25-of-51   4.8 GB: 26-of-51   4.9 GB: 27-of-51   4.8 GB: 28-of-51   4.8 GB: 29-of-51   4.8 GB: 30-of-51   4.9 GB: 31-of-51   4.8 GB: 32-of-51   4.8 GB: 33-of-51   4.8 GB: 34-of-51   4.9 GB: 35-of-51   4.8 GB: 36-of-51   4.8 GB: 37-of-51   4.8 GB: 38-of-51   4.9 GB: 39-of-51   4.8 GB: 40-of-51   4.8 GB: 41-of-51   4.8 GB: 42-of-51   4.9 GB: 43-of-51
Supported Languagesen fr de es it pt ru zh ja
Model ArchitectureMistralForCausalLM
Licenseother
Context Length131072
Model Max Length131072
Transformers Version4.43.4
Vocabulary Size32768
Torch Data Typebfloat16
Magnum V2 123B (anthracite-org/magnum-v2-123b)

Best Alternatives to Magnum V2 123B

Best Alternatives
Context / RAM
Downloads
Likes
Gigaberg Mistral Large 123B128K / 222 GB102
Behemoth 123B V2128K / 221.6 GB679
Behemoth 123B V1128K / 221.6 GB14341
Cakrawala 123B128K / 222 GB253
Magnum V4 123B128K / 222 GB11526
Lumikabra 123B V0.4128K / 216.7 GB1812
Lumimaid V0.2 123B128K / 217.2 GB18736
Magstral 123B128K / 221.6 GB191
Tess 3 Mistral Large 2 123B128K / 217.2 GB4523
ML MS Etheris 123B32K / 226.4 GB234
Note: green Score (e.g. "73.2") means that the model is better than anthracite-org/magnum-v2-123b.

Rank the Magnum V2 123B Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

What open-source LLMs or SLMs are you in search of? 48046 in total.

Email us: info@extractum.io. Our Privacy Policy  | Terms and Conditions  | Suggest an improvement.
Our Social Media →  
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
  Support LLM Explorer